没有冒犯大神们的意思，赞美的话就不说了，说说我理解的，和理想模型之间的差距。 about argus-3d HOT 2 CLOSED

Sorry for getting back to you late. I've just been swamped with a bunch of deadlines.
(1) Indeed, the strategy of employing 2D priors for supervising 3D model training has garnered significant interest lately. But there's still a whole lot we can do with 3D data directly. Like, MeshGPT? It's got a lot of people talking.
(2) Applying open-vocabulary to 3D is indeed a great idea, and we will further consider this possibility.
Our work still has some flaws, and we will strive to improve them in our future work. Anyway, thanks for showing interest in our work.

from argus-3d.

很牛的工作啊。大神（们）千万不要以为我是冒犯。
我是个人技术兴趣，一直在做立体重构/生成这个方向。这个方向，稍微有点意思的论文，我都在看在学。自己也有折腾，也有自我否定，形成了自己心目中理想的算法（从需求，到技术路径），所以，看到可以借鉴的论文，都会和自己想象的理想算法去对比。然后直接的表达。
就是希望更完美，一张图一段文字就来一个sora那种级别的3D版本。

from argus-3d.